Pub Date : 2022-01-10DOI: 10.53384/ijsom.813023831359.19843046
Mingxiang Li
This study examines characteristics that may influence buyers' desire to obtain goods and services from ethnic minority enterprises using data from 277 buyers employed at large buying organizations (LPOs) in the United States and the United Kingdom (EMBs). The literature on social capital is utilized to construct hypotheses about the cognitive, structural, and relational factors that may influence decisions to purchase from minority enterprises. Following that, current discrimination theory is used to deduce how buyers' views about supplier diversity affect the effects of social capital on their buying operations with EMBs. Multiple regression research indicates that in both the United States and the United Kingdom, buyers' perceived positive social capital has a direct, substantial association with their spending with EMBs. Additionally, the findings indicate that in both nations, purchasers' attitudes toward supplier diversity act as a moderator of the connection. Interestingly, despite the fact that the United States pioneered the concept of supplier variety, our study reveals that UK LPO buyers spend more with their EMBs. This research demonstrates how LPOs' strategic corporate social responsibility initiatives may be influenced by their buyers' social relationships with EMBs and their views about supplier diversity, based on these findings.
{"title":"The Effects of Buyers' Attitudes Toward Supplier Diversity on Their Spending with Ethnic Minority Businesses","authors":"Mingxiang Li","doi":"10.53384/ijsom.813023831359.19843046","DOIUrl":"https://doi.org/10.53384/ijsom.813023831359.19843046","url":null,"abstract":"This study examines characteristics that may influence buyers' desire to obtain goods and services from ethnic minority enterprises using data from 277 buyers employed at large buying organizations (LPOs) in the United States and the United Kingdom (EMBs). The literature on social capital is utilized to construct hypotheses about the cognitive, structural, and relational factors that may influence decisions to purchase from minority enterprises. Following that, current discrimination theory is used to deduce how buyers' views about supplier diversity affect the effects of social capital on their buying operations with EMBs. Multiple regression research indicates that in both the United States and the United Kingdom, buyers' perceived positive social capital has a direct, substantial association with their spending with EMBs. Additionally, the findings indicate that in both nations, purchasers' attitudes toward supplier diversity act as a moderator of the connection. Interestingly, despite the fact that the United States pioneered the concept of supplier variety, our study reveals that UK LPO buyers spend more with their EMBs. This research demonstrates how LPOs' strategic corporate social responsibility initiatives may be influenced by their buyers' social relationships with EMBs and their views about supplier diversity, based on these findings.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46100714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose a credibility-based fuzzy mathematical programming model for integrating the production and distribution in a milk supply chain under uncertainty. The proposed model is a mixed integer linear programming, which takes into account technological constraints and aims to maximize the total profit including the total costs such as production, storage, and distribution. To bring the model closer to real-world planning problems, the objective function coefficients (e.g. production cost, inventory holding and transport costs) and other parameters (e.g. demand, production capacity, and safety stock level) are all considered fuzzy numbers. In the uncertain environment, the most known criteria widely employed are optimistic and pessimistic value criterions. Both criteria present some deficiency. For the optimistic criterion, it suggests an audacious decision maker who is attracted by high payoffs (low cost), while for the pessimistic criterion, it suggests a conservative decision-maker who tries to make sure that in the case of an unfavorable outcome (loss), there is at least (in most) a known minimum payoff (maximum loss). The Hurwicz criterion is used to overcome these problems. By varying the value of θ, it can balance the optimistic and pessimistic levels of the decision makers. Moreover, the different property of the credibility measure is used to build the crisp equivalent model, which is a MILP model that can solve problems by using a commercial solver such as GAMS. Finally, numerical results are reported for a real case study to demonstrate the efficiency and applicability of the proposed model.
{"title":"Integrated production and distribution in a milk supply chain under uncertainty with the Hurwicz criterion","authors":"A. Touil, A. Echchatbi, A. Charkaoui","doi":"10.22034/2019.1.3","DOIUrl":"https://doi.org/10.22034/2019.1.3","url":null,"abstract":"In this paper, we propose a credibility-based fuzzy mathematical programming model for integrating the production and distribution in a milk supply chain under uncertainty. The proposed model is a mixed integer linear programming, which takes into account technological constraints and aims to maximize the total profit including the total costs such as production, storage, and distribution. To bring the model closer to real-world planning problems, the objective function coefficients (e.g. production cost, inventory holding and transport costs) and other parameters (e.g. demand, production capacity, and safety stock level) are all considered fuzzy numbers. In the uncertain environment, the most known criteria widely employed are optimistic and pessimistic value criterions. Both criteria present some deficiency. For the optimistic criterion, it suggests an audacious decision maker who is attracted by high payoffs (low cost), while for the pessimistic criterion, it suggests a conservative decision-maker who tries to make sure that in the case of an unfavorable outcome (loss), there is at least (in most) a known minimum payoff (maximum loss). The Hurwicz criterion is used to overcome these problems. By varying the value of θ, it can balance the optimistic and pessimistic levels of the decision makers. Moreover, the different property of the credibility measure is used to build the crisp equivalent model, which is a MILP model that can solve problems by using a commercial solver such as GAMS. Finally, numerical results are reported for a real case study to demonstrate the efficiency and applicability of the proposed model.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67980301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aimed to determine the applicability to which green supply chain practices employed by Shell and Cooperation Petroleum Company in Egypt. Additionally, the impact of Green Supply Chain practices on the operational performance of each company. The results, based on benchmarking, were statistically analyzed by Fischer analysis. Concerning the parameters of company's practices of green procurement, the results revealed highly significant differences (p<0.0001) between Shell and Co-operation Petroleum Companies. Regarding of company's green manufacturing practices, the results revealed highly significance differences (p<0.0001) between Shell and Co-operation Petroleum Companies in produce products that have packages using life cycle assessment to evaluate environmental load, replacing hazardous substances with that are environmentally friendly, minimizing the use of materials in packaging, encouraging ruse of products and recycled materials, reducing the size of packaging, and cooperating with suppliers to standardize packaging between the both company. Referring to the company's practices of reverse logistics, the results revealed highly significant differences (p<0.0001) in dealing with disposal, processing returned merchandise, and repackaging product. Regarding the Company's operational performance with respect to the implementation of green supply chain practices the results revealed highly significant differences (p<0.0001) in quality, safety, delivery, and flexibility between Shell and Co-op companies. This project lustrated that green supply chain practices have a profound effect on the operational performance in Shell Company making it number one in the lubricant industry in Egypt.
{"title":"The Effect of Green Supply Chain Practices on Operational Performance: Bench-marking between Shell and Co-operation Petroleum Company in Egypt","authors":"Yasser Said","doi":"10.22034/2019.1.5","DOIUrl":"https://doi.org/10.22034/2019.1.5","url":null,"abstract":"This study aimed to determine the applicability to which green supply chain practices employed by Shell and Cooperation Petroleum Company in Egypt. Additionally, the impact of Green Supply Chain practices on the operational performance of each company. The results, based on benchmarking, were statistically analyzed by Fischer analysis. Concerning the parameters of company's practices of green procurement, the results revealed highly significant differences (p<0.0001) between Shell and Co-operation Petroleum Companies. Regarding of company's green manufacturing practices, the results revealed highly significance differences (p<0.0001) between Shell and Co-operation Petroleum Companies in produce products that have packages using life cycle assessment to evaluate environmental load, replacing hazardous substances with that are environmentally friendly, minimizing the use of materials in packaging, encouraging ruse of products and recycled materials, reducing the size of packaging, and cooperating with suppliers to standardize packaging between the both company. Referring to the company's practices of reverse logistics, the results revealed highly significant differences (p<0.0001) in dealing with disposal, processing returned merchandise, and repackaging product. Regarding the Company's operational performance with respect to the implementation of green supply chain practices the results revealed highly significant differences (p<0.0001) in quality, safety, delivery, and flexibility between Shell and Co-op companies. This project lustrated that green supply chain practices have a profound effect on the operational performance in Shell Company making it number one in the lubricant industry in Egypt.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67979822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-09DOI: 10.53384/ijsom.56223831359
Javier Henrio
Multiple stakeholders are impacted by motor carrier operating safety, including truck drivers, motor carriers, insurance companies, shippers, and the general public. I develop and test theory in this article about motor carriers' longitudinal performance on three categories of safety behaviors associated with accident rates—Unsafe Driving, Hours-of-Service Compliance, and Vehicle Maintenance—as tracked by the Federal Motor Carrier Safety Administration as part of the Compliance, Safety, and Accountability (CSA) program. I specifically draw on fundamental concepts from sociological agency theory and resource dependency theory to develop a middle-range theory that generates previously untested hypotheses about carriers' longitudinal safety performance for these classes of safety behaviors following the CSA program's inception. The hypotheses are investigated by fitting a series of multivariate latent curve models to four years of panel data for 484 big for-hire vehicle carriers operating in the United States. The empirical findings confirm the theoretical expectations and persist during robustness testing. These findings have significant consequences for academics, motor carrier executives, purchasers of motor carrier transportation services, and policymakers.
{"title":"A Time-Series Analysis of Motor Carrier Safety Behaviors","authors":"Javier Henrio","doi":"10.53384/ijsom.56223831359","DOIUrl":"https://doi.org/10.53384/ijsom.56223831359","url":null,"abstract":"Multiple stakeholders are impacted by motor carrier operating safety, including truck drivers, motor carriers, insurance companies, shippers, and the general public. I develop and test theory in this article about motor carriers' longitudinal performance on three categories of safety behaviors associated with accident rates—Unsafe Driving, Hours-of-Service Compliance, and Vehicle Maintenance—as tracked by the Federal Motor Carrier Safety Administration as part of the Compliance, Safety, and Accountability (CSA) program. I specifically draw on fundamental concepts from sociological agency theory and resource dependency theory to develop a middle-range theory that generates previously untested hypotheses about carriers' longitudinal safety performance for these classes of safety behaviors following the CSA program's inception. The hypotheses are investigated by fitting a series of multivariate latent curve models to four years of panel data for 484 big for-hire vehicle carriers operating in the United States. The empirical findings confirm the theoretical expectations and persist during robustness testing. These findings have significant consequences for academics, motor carrier executives, purchasers of motor carrier transportation services, and policymakers.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48704619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-09DOI: 10.53384/ijsom.56323831359
Reiner Gerald, Phuoc Van Nguyen
The output of a planning process is a set of assigned individual tasks to resources at a certain point in time. This paper focuses on the performance parameters and objectives that play a role in the planning process. In order to gain insight into the factors which play a role in designing new software systems for Logistical Service Providers (LSPs). Therefore, we study the area of Key Performance Indicators (KPI). Typically, KPIs are used in a post-ante context: to evaluate a company’s past performance. We reason that KPIs should be utilized in the planning phase as well. The paper describes the extended literature survey that we conducted and introduces a novel framework that captures the dynamics of competing KPIs by positioning them in the practical context of an LSP. This framework could be a valuable input into the design of a future generation of information systems capable of incorporating the business dynamics of today’s LSPs.
{"title":"Theoretical research in key performance indicators measurement of logistics service providers","authors":"Reiner Gerald, Phuoc Van Nguyen","doi":"10.53384/ijsom.56323831359","DOIUrl":"https://doi.org/10.53384/ijsom.56323831359","url":null,"abstract":"The output of a planning process is a set of assigned individual tasks to resources at a certain point in time. This paper focuses on the performance parameters and objectives that play a role in the planning process. In order to gain insight into the factors which play a role in designing new software systems for Logistical Service Providers (LSPs). Therefore, we study the area of Key Performance Indicators (KPI). Typically, KPIs are used in a post-ante context: to evaluate a company’s past performance. We reason that KPIs should be utilized in the planning phase as well. The paper describes the extended literature survey that we conducted and introduces a novel framework that captures the dynamics of competing KPIs by positioning them in the practical context of an LSP. This framework could be a valuable input into the design of a future generation of information systems capable of incorporating the business dynamics of today’s LSPs.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43403648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-09DOI: 10.53384/ijsom.56123831359
Afresco Brazhkin
Numerous studies have stressed the critical nature of aligning a product's attributes to its supply chain design (i.e., supply chain fit). Fisher (1997) developed the concept of supply chain fit, stating that enterprises must evaluate the nature of their products' demand before constructing a supply chain. I extend Fisher's (1997) paradigm by providing a more thorough understanding of when firms should invest in supply chain fit. I argue that assuming that perfect supply chain fit always results in enhanced financial performance is oversimplistic, as the benefits of perfect supply chain fit may be outweighed by the resources expended to attain it. To conduct this research, I will use archival and survey data to examine the moderating effects of six dimensions of environmental uncertainty on the relationship between supply chain fit and financial performance (e.g., munificence, market dynamism, technological dynamism, technical complexity, product diversity, and geographic dispersion).
{"title":"Reassessing Supply Chain Fit: A Look at Moderating Factors","authors":"Afresco Brazhkin","doi":"10.53384/ijsom.56123831359","DOIUrl":"https://doi.org/10.53384/ijsom.56123831359","url":null,"abstract":"Numerous studies have stressed the critical nature of aligning a product's attributes to its supply chain design (i.e., supply chain fit). Fisher (1997) developed the concept of supply chain fit, stating that enterprises must evaluate the nature of their products' demand before constructing a supply chain. I extend Fisher's (1997) paradigm by providing a more thorough understanding of when firms should invest in supply chain fit. I argue that assuming that perfect supply chain fit always results in enhanced financial performance is oversimplistic, as the benefits of perfect supply chain fit may be outweighed by the resources expended to attain it. To conduct this research, I will use archival and survey data to examine the moderating effects of six dimensions of environmental uncertainty on the relationship between supply chain fit and financial performance (e.g., munificence, market dynamism, technological dynamism, technical complexity, product diversity, and geographic dispersion).","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45178038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-09DOI: 10.53384/ijsom.56023831359
Jordan Hensen
Despite the breadth of supply chain management (SCM) research, little attention has been paid to the application of Big Data Analytics to maximize the utilization of information in a supply chain. The objective of this article is to contribute to the development of SCM theory by examining the potential effects of Big Data Analytics on information utilization in a business and supply chain setting. Because it is critical for supply chain firms to have access to current, accurate, and useful data, the exploratory research will shed light on the opportunities and problems associated with the implementation of Big Data Analytics in SCM. While management is increasingly focusing on Big Data Analytics, actual research on the subject is still sparse. Due of the scarcity of relevant content at the nexus of Big Data Analytics and Supply Chain Management, the authors employ the Delphi research technique. The given Delphi survey findings complement to existing knowledge by identifying 43 opportunities and problems associated with the emergence of Big Data Analytics from a corporate and supply chain perspective. These structures provide the research community with a starting point for tailoring future research at the nexus of Big Data Analytics and SCM. The research contributes to the current body of knowledge by examining possibilities and challenges at the corporate and supply chain level with a particular emphasis on the consequences imposed by Big Data Analytics.
{"title":"Digital information's challenges and potential at the nexus of Big Data Analytics and supply chain management","authors":"Jordan Hensen","doi":"10.53384/ijsom.56023831359","DOIUrl":"https://doi.org/10.53384/ijsom.56023831359","url":null,"abstract":"Despite the breadth of supply chain management (SCM) research, little attention has been paid to the application of Big Data Analytics to maximize the utilization of information in a supply chain. The objective of this article is to contribute to the development of SCM theory by examining the potential effects of Big Data Analytics on information utilization in a business and supply chain setting. Because it is critical for supply chain firms to have access to current, accurate, and useful data, the exploratory research will shed light on the opportunities and problems associated with the implementation of Big Data Analytics in SCM. While management is increasingly focusing on Big Data Analytics, actual research on the subject is still sparse. Due of the scarcity of relevant content at the nexus of Big Data Analytics and Supply Chain Management, the authors employ the Delphi research technique. The given Delphi survey findings complement to existing knowledge by identifying 43 opportunities and problems associated with the emergence of Big Data Analytics from a corporate and supply chain perspective. These structures provide the research community with a starting point for tailoring future research at the nexus of Big Data Analytics and SCM. The research contributes to the current body of knowledge by examining possibilities and challenges at the corporate and supply chain level with a particular emphasis on the consequences imposed by Big Data Analytics.","PeriodicalId":37135,"journal":{"name":"International Journal of Supply and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45054395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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